import numpy

# from numpy import array

import time

# import pyopencl as cl

# from pyopencl import array

# import pyopencl.tools

# from procedures import *

import os

from numpy import array

os.environ['PYOPENCL_COMPILER_OUTPUT'] = '1'

os.environ['PYOPENCL_CTX'] = '1'

# p = Procedures()

# # start = time.clock()

# # p =Procedures()

# x = numpy.ones((4,4))

# ge = p.globalError(4,4,x)

# print ge[0]

# # a = []

# # print numpy.sum(x[0])

# # print time.clock() - start

import pyopencl as cl # Import the OpenCL GPU computing API

import pyopencl.array as pycl_array # Import PyOpenCL Array (a Numpy array plus an OpenCL buffer object)

import numpy as np # Import Numpy number tools

context = cl.create_some_context() # Initialize the Context

queue = cl.CommandQueue(context) # Instantiate a Queue

x = pycl_array.to_device(queue, np.random.rand(3920,100).astype(np.float32))

# a = pycl_array.to_device(queue, np.random.rand(50000).astype(np.float32))

# b = pycl_array.to_device(queue, np.random.rand(50000).astype(np.float32))

y = np.random.rand(3920,100).astype(np.float32)

# Create two random pyopencl arrays

# c = pycl_array.empty_like(a) # Create an empty pyopencl destination array

start = time.clock()

d=[]

for i in range(3920):

d.append(pycl_array.sum(x[i]))

# d = numpy.sum(y[i])

print time.clock() - start

# print("x: {}".format(x))

# print("d: {}".format(d))

# Print all three arrays, to show sum() worked